Reasoning with Large Scale OWL 2 EL Ontologies Based on MapReduce

摘要：

　　OWL 2 EL,which is underpinned by the description logic EL,has been used to build terminological ontologies in real applications,like biomedicine,multimedia and transportation.On the other hand,there have been techniques that allow developers and users acquiring large scale ontologies by automatically extracting data from different sources or integrating different domain ontologies.Thus the issue of handling large scale ontologies has to be tackled.In this short paper,we report our work on classification of OWL 2 EL ontologies using MapReduce,which is a distributed computing model for data processing.We discuss the main problems when we use MapReduce to handle OWL 2 EL classification and how we address these problems.We implement the algorithm using Hadoop,and evaluate it on a cluster of machines.The experimental results show that our prototype system achieves a linear scalability on large scale ontologies.

关键词： OWL 2 EL Description logics Classification MapReduce

作者: Zhangquan Zhou Guilin Qi Chang Liu Raghava Mutharaju Pascal Hitzler

作者单位: Southeast University,Nanjing,China Carnegie Mellon University,Pittsburgh,USA Wright State University,Dayton,USA

会议类型: 国际会议

会议名称: International Asia-Pacific Web Conference(第18届国际亚太互联网大会)

会议地点: 苏州

会议语种:英文

页码: 429-433

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）